diff options
Diffstat (limited to 'src/runtime/GLES_COMPUTE/functions')
-rw-r--r-- | src/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.cpp | 4 | ||||
-rw-r--r-- | src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp | 4 |
2 files changed, 4 insertions, 4 deletions
diff --git a/src/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.cpp b/src/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.cpp index 67b2ae9d61..5cfd72f724 100644 --- a/src/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.cpp +++ b/src/runtime/GLES_COMPUTE/functions/GCConvolutionLayer.cpp @@ -149,7 +149,7 @@ void GCConvolutionLayer::configure(const IGCTensor *input, const IGCTensor *weig shape_im2col.set(2, 1); // FIXME: input->clone() doesn't work with subtensors for grouped convolutions. - TensorInfo im2col_reshaped_info(shape_im2col, 1, dt, input->info()->fixed_point_position()); + TensorInfo im2col_reshaped_info(shape_im2col, 1, dt); _input_im2col_reshaped.allocator()->init(im2col_reshaped_info); _memory_group.manage(&_input_im2col_reshaped); @@ -160,7 +160,7 @@ void GCConvolutionLayer::configure(const IGCTensor *input, const IGCTensor *weig const DataType gemm_data_type = dt; // FIXME: input->clone() doesn't work with subtensors for grouped convolutions. - TensorInfo info_gemm(shape_gemm, 1, gemm_data_type, input->info()->fixed_point_position()); + TensorInfo info_gemm(shape_gemm, 1, gemm_data_type); _gemm_output.allocator()->init(info_gemm); _memory_group.manage(&_gemm_output); diff --git a/src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp b/src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp index 1748a5952b..0c8769b38f 100644 --- a/src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp +++ b/src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp @@ -42,11 +42,11 @@ void GCSoftmaxLayer::configure(const IGCTensor *input, IGCTensor *output, float ARM_COMPUTE_ERROR_ON(beta != 1.0f); // Create intermediate tensors shapes - _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position())); + _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), input->info()->num_channels(), input->info()->data_type())); TensorShape shape = input->info()->tensor_shape(); shape.set(0, 1); - TensorInfo tensor_info_max_sum(shape, input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()); + TensorInfo tensor_info_max_sum(shape, input->info()->num_channels(), input->info()->data_type()); _max.allocator()->init(tensor_info_max_sum); _sum.allocator()->init(tensor_info_max_sum); |